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Benjerry Reviews Spider

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from $9.00 / 1,000 results

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Benjerry Reviews Spider

Benjerry Reviews Spider

Scrape authentic customer reviews from Ben & Jerry's product pages to gain insights into consumer sentiment, ratings, and feedback....

Pricing

from $9.00 / 1,000 results

Rating

0.0

(0)

Developer

GetDataForMe

GetDataForMe

Maintained by Community

Actor stats

0

Bookmarked

2

Total users

1

Monthly active users

3 days ago

Last modified

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Introduction

The Benjerry Reviews Spider is a powerful Apify Actor designed to scrape customer reviews and related data from Ben & Jerry's product pages. It efficiently extracts valuable insights such as ratings, comments, and user feedback to help businesses and researchers analyze consumer sentiment. By automating the collection of authentic reviews, this tool saves time and provides reliable data for market analysis and decision-making.

Features

  • Comprehensive Review Extraction: Scrapes detailed review data including ratings, text, dates, and reviewer information from Ben & Jerry's flavor pages.
  • High Reliability: Utilizes robust scraping techniques with built-in error handling to ensure consistent data retrieval.
  • Proxy Support: Integrates with Apify's proxy services for residential IPs, minimizing detection and blocking risks.
  • Scalable and Fast: Handles multiple URLs concurrently, delivering results quickly even for large-scale extractions.
  • Customizable Inputs: Flexible URL configuration allows targeting specific products or pages.
  • Clean Output: Produces structured JSON data that's easy to export and integrate into workflows.
  • No Coding Required: User-friendly interface for non-technical users to run extractions effortlessly.

Input Parameters

ParameterTypeRequiredDescriptionExample
UrlsarrayYesAn array of URLs pointing to Ben & Jerry's product pages to scrape reviews from. Each URL should be a valid HTTP/HTTPS link.["https://www.benjerry.com/flavors/chocolate-chip-cookie-dough-non-dairy", "https://www.benjerry.com/flavors/vanilla"]
proxyConfigurationobjectNoConfiguration for proxy servers to anonymize requests. Defaults to using Apify's residential proxies for better success rates.{"useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"]}

Example Usage

To run the Benjerry Reviews Spider, provide the input parameters in JSON format. Here's an example:

{
"Urls": [
"https://www.benjerry.com/flavors/chocolate-chip-cookie-dough-non-dairy"
],
"proxyConfiguration": {
"useApifyProxy": true,
"apifyProxyGroups": ["RESIDENTIAL"]
}
}

Example output (structured JSON array of review objects):

[
{
"reviewer": "John Doe",
"rating": 5,
"text": "Absolutely delicious! The non-dairy version is a game-changer.",
"date": "2023-10-15",
"product": "Chocolate Chip Cookie Dough Non-Dairy"
},
{
"reviewer": "Jane Smith",
"rating": 4,
"text": "Great flavor, but a bit too sweet for my taste.",
"date": "2023-09-22",
"product": "Chocolate Chip Cookie Dough Non-Dairy"
}
]

Use Cases

  • Market Research: Analyze consumer preferences and trends in ice cream flavors to inform product development.
  • Competitive Intelligence: Compare Ben & Jerry's reviews with competitors to identify strengths and weaknesses.
  • Price Monitoring: Track sentiment alongside pricing data for dynamic pricing strategies.
  • Content Aggregation: Collect user-generated content for social media campaigns or blog posts.
  • Academic Research: Study consumer behavior and feedback in the food industry for studies or theses.
  • Business Automation: Automate review monitoring for quality control and customer service improvements.

Installation and Usage

  1. Search for "Benjerry Reviews Spider" in the Apify Store
  2. Click "Try for free" or "Run"
  3. Configure input parameters
  4. Click "Start" to begin extraction
  5. Monitor progress in the log
  6. Export results in your preferred format (JSON, CSV, Excel)

Output Format

The Actor outputs a JSON array of objects, each representing a single review. Key fields include:

  • reviewer: Name or identifier of the reviewer.
  • rating: Numerical rating (e.g., 1-5 stars).
  • text: Full text of the review.
  • date: Date the review was posted.
  • product: Name of the product being reviewed.

Data is cleaned and structured for easy parsing, with each URL's reviews grouped logically.

Support

For custom/simplified outputs or bug reports, please contact:

We're here to help you get the most out of this Actor!